​About the Event

​Most companies cannot clearly say what information in their business is confidential, let alone how that information should be handled when employees use AI.

​Without that foundation, AI usage policies have little to enforce. Confidential information entered into unmanaged AI tools can create legal, contractual and cybersecurity exposure, potentially compromising trade secret protection, breaching contractual obligations, or exposing sensitive business information.

​Yet organizations often approach these risks through two separate lenses:

​Legal teams focus on contracts, privacy, intellectual property, compliance, liability and regulatory obligations.

​Cybersecurity teams focus on technical controls, access management, data protection, incident response and threat management.

​In this session, we bring these two worlds together.

​As AI becomes part of everyday work, employees are increasingly using these tools to write code, analyze documents, summarize contracts, develop proposals, conduct research and solve business problems. That creates enormous opportunity, but it also raises important questions for CEOs and founders:

​Do you know what information in your company is actually confidential or business-critical?

​Do your employees know what they can and cannot put into AI tools?

​Could AI use compromise your intellectual property, trade secret protection, privacy obligations or contractual commitments?

​Are your policies backed by the technical controls needed to actually protect the business?

​Are your legal and cybersecurity approaches working together or operating independently?

​Join Richard Scott of Contract Flow Solutions and Omer Segoly of Cyber Unit as they bring both perspectives to the same conversation and examine how organizations can protect their most critical information as AI becomes embedded in everyday business.

​Together, they’ll explore:

​What information actually needs protecting: Identifying and classifying confidential, sensitive and business-critical information.

​Where the legal exposure begins: Understanding how contracts, privacy, intellectual property and regulatory obligations affect the use of AI.

​What cybersecurity controls are worth implementing: Protecting sensitive information without creating unnecessary barriers to AI adoption.

​Where to draw the line on employee AI use: Establishing practical boundaries between acceptable use, higher-risk activity and what should remain off-limits.

​How legal and cybersecurity controls work together: Connecting policy and contractual obligations with the technical controls needed to enforce them.

​The objective isn’t to stop leaders and their employees from using AI. It’s to enable organizations to take advantage of AI while understanding what they need to protect, why they need to protect it and how to put practical guardrails around it.

​Meet the Experts

​Omer Segoly is the founder and CEO of Cyber Unit, a cybersecurity-focused IT firm helping small and mid-sized companies adopt AI without losing control of their data. He brings over 15 years of IT consulting experience across risk management and security architecture, alongside hands-on AI implementation work for clients in the field. Based in Vancouver, he works with owners and leadership teams who need security to fit the size of their business.

​

​Richard Scott is the founder of Contract Flow Solutions and Scott Law, which provides in-house counsel legal services to B2B companies. He was in-house at Traction on Demand through its acquisition by Salesforce, and has spent nine years helping tech companies and SMBs handle commercial contracts and data protection risks.